Online current signal de‐noising of magnetic bearing switching power amplifier based on lifting wavelet transform

Zhang, Huijuan; Fang, Jiancheng; Hu, Liu

doi:10.1049/iet-epa.2015.0457

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…The measurement of voltage imbalance is to take the absolute value of the data, and then compare it with the reference value. If it is greater than the reference value, it indicates that the voltage imbalance exceeds the normal range, and the alarm will display it as abnormal; otherwise, it will display the voltage imbalance as normal [19]. The same case is with the current imbalance.…”

Section: Implementation Of Systemmentioning

confidence: 99%

Construction of a Power Quality Monitoring System Based on the Wavelet Transform Change-Point Detection Algorithm on the Virtual Instrument Platform

Shi

Wang

2020

International Journal of Circuits, Systems and Signal Processing

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It is aimed to carry out the investigation on power quality detection, promote the realization of efficient transmission of network data, and expand the application of wavelet transform change-point detection algorithm in the monitoring system. The voltage deviation is used as a starting point to explore the detection of power quality. First, it describes the harmonics of the public power grid and the limits of harmonic voltage. Second, based on the virtual instrument platform, the power quality monitoring system based on wavelet transform change-point detection algorithm is completed. Finally, by adding a monitoring terminal and a service terminal, the design of the monitoring system server is completed. Through the analysis of the experimental results, it is found that in the monitoring system, the current waveform and the three-phase voltage can be accurately displayed. The combined design of the networked monitoring system and the system server enables the system to complete the rapid transmission of data related to power quality, while having a good monitoring effect. For the optimization of networked monitoring experienceof the server, the application of wavelet transform in power quality measurement is realized. The power quality monitoring system proposed has a strong practicality in power quality monitoring.

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Section: Implementation Of Systemmentioning

confidence: 99%

Construction of a Power Quality Monitoring System Based on the Wavelet Transform Change-Point Detection Algorithm on the Virtual Instrument Platform

Shi

Wang

2020

International Journal of Circuits, Systems and Signal Processing

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“…e biggest advantages of LWT are simple structure, low distortion, reduced aliasing e ects, and high computational e ciency [5]. After continuous improvement, LWT has been successfully applied in fault diagnosis [6], radar detection [7], spectral analysis [8], aerospace [9], and other elds.…”

Section: Introductionmentioning

confidence: 99%

A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection

Wang

et al. 2022

Shock and Vibration

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The online blind source separation (BSS) is seriously disturbed by strong noise when extracting weak signals and has the defects that it cannot both give consideration to convergence speed and steady-state error. In order to solve the abovementioned problems, a novel improved threshold adaptive forgetting variable step size blind separation model (ITAFBS) for weak signal detection is proposed. Firstly, an improved lifting wavelet transform (ILWT) is proposed to reduce the noise of weak signals. In ILWT, a threshold function containing an adjustment factor is proposed to reduce the constant deviation so as to ensure a high signal-to-noise ratio and low distortion after denoising. Then, the separation index (SI) is constructed according to the convergence conditions of the BSS model. An adaptive variable step size blind separation model based on the SI is studied. At the initial stage of separation, the step size is increased to obtain a fast convergence rate, and at the end of separation and the step size is shortened to obtain a small steady-state error. Finally, the forgetting factor is introduced into the model to reduce the error accumulation in the early stage of the algorithm, and the Fourier norm is introduced to improve the convergence speed and separation accuracy of the model. The simulation and experimental results show that ITAFBS has a good performance in multi-frequency weak signal detection. Compared with other methods, the ITAFBS has a faster convergence speed and minimum steady-state error.

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“…The magnetic bearing has the advantages such as low consumption, longevity, and low maintenance requirement, making it suitable for the special occasions such as the high-speed motor, vacuum facilities super clean sterile room, the machining process and superconductor [1][2][3][4]. The power amplifier is the key component of a magnetic bearing system, which is used to amplify the control signals of the coil current needed to generate the magnetic force.…”

Section: Introductionmentioning

confidence: 99%

One‐cycle decoupling control method of multi‐leg switching power amplifier for magnetic bearing system

Liu

Deng

et al. 2019

IET Electric Power Applications

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The traditional current control algorithm of the multi-leg switching power amplifier (SPA) is complicated since the control of different phase currents is intercoupling. To address this problem, a novel control strategy based on one-cycle control is proposed in this study, which can enforce the average current of each phase is equal to the reference in each control cycle. Since it sets the duty cycle of the neutral leg as a constant, this method presents significant advantages such as quick dynamic response, easy control and decoupling of the phase currents. Taking a five-phase six-leg SPA, e.g. the mathematic model of the system was built, the duty cycle of the neutral leg was analysed, the principle of the novel control strategy was introduced, and the detailed implemented process was presented. Thereby, a high-speed switched reluctance motor system using the magnetic bearing is constructed to test this method. Both the simulation and experimental results have demonstrated the simplicity and effectiveness of the proposed method.

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Online current signal de‐noising of magnetic bearing switching power amplifier based on lifting wavelet transform

Cited by 9 publications

References 19 publications

Construction of a Power Quality Monitoring System Based on the Wavelet Transform Change-Point Detection Algorithm on the Virtual Instrument Platform

Construction of a Power Quality Monitoring System Based on the Wavelet Transform Change-Point Detection Algorithm on the Virtual Instrument Platform

A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection

One‐cycle decoupling control method of multi‐leg switching power amplifier for magnetic bearing system

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